A comparative study of texture attributes for characterizing subsurface structures in seismic volumes
Abstract
In this paper, we explore how to computationally characterize subsurface geological structures presented in seismic volumes using texture attributes. For this purpose, we conduct a comparative study of typical texture attributes presented in the image processing literature. We focus on spatial attributes in this study and examine them in a new application for seismic interpretation, i.e., seismic volume labeling. For this application, a data volume is automatically segmented into various structures, each assigned with its corresponding label. If the labels are assigned with reasonable accuracy, such volume labeling will help initiate an interpretation process in a more effective manner. Our investigation proves the feasibility of accomplishing this task using texture attributes. Through the study, we also identify advantages and disadvantages associated with each attribute.
Keywords
Cite
@article{arxiv.1812.08263,
title = {A comparative study of texture attributes for characterizing subsurface structures in seismic volumes},
author = {Zhiling Long and Yazeed Alaudah and Muhammad Ali Qureshi and Yuting Hu and Zhen Wang and Motaz Alfarraj and Ghassan AlRegib and Asjad Amin and Mohamed Deriche and Suhail Al-Dharrab and Haibin Di},
journal= {arXiv preprint arXiv:1812.08263},
year = {2018}
}